Trust in Online Ride-Sharing Transactions: Impacts of Heterogeneous Order Features-Reference-Cited by-同舟云学术

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Trust in Online Ride-Sharing Transactions: Impacts of Heterogeneous Order Features

Published:2023-01-02 Issue:1 Volume:40 Page:183-207
ISSN:0742-1222
Container-title:Journal of Management Information Systems
language:en
Short-container-title:Journal of Management Information Systems

Author:

Cheng Xusen¹^ORCID,Fu Shixuan²^ORCID,Sun Jianshan³^ORCID,Zuo Meiyun¹^ORCID,Meng Xiangsong⁴^ORCID

Affiliation:

1. School of Information, Renmin University of China, Beijing, China

2. School of Economics and Management, University of Science and Technology Beijing, Beijing, China

3. School of Management, Heifei University of Technology, Hefei, China

4. School of Information Technology & Management, University of International Business and Economics, Beijing China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Information Systems and Management,Management Science and Operations Research,Computer Science Applications,Management Information Systems

Link

https://www.tandfonline.com/doi/pdf/10.1080/07421222.2023.2172779

Reference60 articles.

1. No One Wants to Look Cheap: Trade-Offs Between Social Disincentives and the Economic and Psychological Incentives to Redeem Coupons

2. Repeated Interactions Versus Social Ties: Quantifying the Economic Value of Trust, Forgiveness, and Reputation Using a Field Experiment

3. Straining for Shared Meaning in Organization Science: Problems of Trust and Distrust

4. Bagging predictors

5. Airbnb customer experience: Evidence of convergence across three countries

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1. A Branch-and-Cut algorithm for the dial-a-ride problem with incompatible customer types;Transportation Research Part E: Logistics and Transportation Review;2024-01

2. Influence of Media Capabilities on Trust in the Sharing Economy;Journal of Management Information Systems;2023-07-03

3. Attribute Reduction Algorithm for Incomplete Information Systems Based on Intuitive Fuzzy Pairs;IEEE Access;2023

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